CT数分布及其与局部控制的关系以及作为肺肿瘤对放射反应的标志。

R Mayer, K Stanton, L Kleinberg, A Chakravarthy, E Fishman
{"title":"CT数分布及其与局部控制的关系以及作为肺肿瘤对放射反应的标志。","authors":"R Mayer,&nbsp;K Stanton,&nbsp;L Kleinberg,&nbsp;A Chakravarthy,&nbsp;E Fishman","doi":"10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H","DOIUrl":null,"url":null,"abstract":"<p><p>An early noninvasive indicator of tumor response to therapy and the ability to predict clinical outcome may potentially enhance disease management. Currently, however, tumor response to therapy is often delayed, potentially compromising disease management. We examined the computed tomography (CT) number or Hounsfield unit distribution to follow lung tumor response to radiation treatment. To help interpret the results, we examined whether the CT number distribution follows a simple two-component model. The CT number distribution was derived from a CT-simulator for 11 patients with lung cancer before and after the initial radiation treatment (1-1.5 months, average 3,407 cGy). Clinical outcomes were followed in 8 patients who received 5,580-6,660 cGy. All patients were scanned serially, using identical radiation imaging parameters (voltage, current, scan time, and slice thickness) in a CT-simulator. The lung tumors were digitally contoured, and software windows were applied to avoid inclusion of lung tissue in the analysis. Histograms and statistical analysis of the CT numbers for the tumor were generated. Radiation-induced CT number or Hounsfield unit (HU) shifts exceeding a threshold (13 HU) in lung tumors were associated with (P=0.04) local control (> or = 10 months). Initial lung tumor size (below 100 cm3) was less well-associated with local control (P=0.26). The change in standard deviation of the CT numbers (derived from the more careful contouring and using software windows) induced by radiation treatment correlated with the change in average CT number (R2=0.71). The change in standard deviation did not correlate with a change in tumor volume (R2=0.02). Radiation treatments reduced the average CT number (P < 0.001). In summary, radiation reduces the CT number and this reduction may be associated with local control at 10 months. A two-component model is consistent with lung tumor number distribution and its response to radiation.</p>","PeriodicalId":20894,"journal":{"name":"Radiation oncology investigations","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1998-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H","citationCount":"12","resultStr":"{\"title\":\"CT number distribution and its association with local control and as a marker of lung tumor response to radiation.\",\"authors\":\"R Mayer,&nbsp;K Stanton,&nbsp;L Kleinberg,&nbsp;A Chakravarthy,&nbsp;E Fishman\",\"doi\":\"10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>An early noninvasive indicator of tumor response to therapy and the ability to predict clinical outcome may potentially enhance disease management. Currently, however, tumor response to therapy is often delayed, potentially compromising disease management. We examined the computed tomography (CT) number or Hounsfield unit distribution to follow lung tumor response to radiation treatment. To help interpret the results, we examined whether the CT number distribution follows a simple two-component model. The CT number distribution was derived from a CT-simulator for 11 patients with lung cancer before and after the initial radiation treatment (1-1.5 months, average 3,407 cGy). Clinical outcomes were followed in 8 patients who received 5,580-6,660 cGy. All patients were scanned serially, using identical radiation imaging parameters (voltage, current, scan time, and slice thickness) in a CT-simulator. The lung tumors were digitally contoured, and software windows were applied to avoid inclusion of lung tissue in the analysis. Histograms and statistical analysis of the CT numbers for the tumor were generated. Radiation-induced CT number or Hounsfield unit (HU) shifts exceeding a threshold (13 HU) in lung tumors were associated with (P=0.04) local control (> or = 10 months). Initial lung tumor size (below 100 cm3) was less well-associated with local control (P=0.26). The change in standard deviation of the CT numbers (derived from the more careful contouring and using software windows) induced by radiation treatment correlated with the change in average CT number (R2=0.71). The change in standard deviation did not correlate with a change in tumor volume (R2=0.02). Radiation treatments reduced the average CT number (P < 0.001). In summary, radiation reduces the CT number and this reduction may be associated with local control at 10 months. A two-component model is consistent with lung tumor number distribution and its response to radiation.</p>\",\"PeriodicalId\":20894,\"journal\":{\"name\":\"Radiation oncology investigations\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiation oncology investigations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation oncology investigations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1520-6823(1998)6:6<281::AID-ROI6>3.0.CO;2-H","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

肿瘤对治疗反应的早期无创指标和预测临床结果的能力可能潜在地增强疾病管理。然而,目前,肿瘤对治疗的反应往往延迟,潜在地影响疾病管理。我们检查了计算机断层扫描(CT)数量或亨斯菲尔德单位分布,以跟踪肺肿瘤对放射治疗的反应。为了帮助解释结果,我们检查了CT数分布是否遵循简单的双组分模型。11例肺癌患者初始放疗前后(1-1.5个月,平均3407 cGy)的CT数分布通过CT模拟器得到。随访8例接受5580 - 6660 cGy治疗的患者的临床结果。所有患者在ct模拟器中使用相同的辐射成像参数(电压、电流、扫描时间和切片厚度)进行连续扫描。肺肿瘤的数字轮廓,并应用软件窗口,以避免在分析中包含肺组织。生成肿瘤CT数的直方图并进行统计分析。放射诱导的CT数或Hounsfield单位(HU)移位超过阈值(13 HU)与肺肿瘤局部控制(>或= 10个月)相关(P=0.04)。初始肺肿瘤大小(小于100 cm3)与局部对照相关性较差(P=0.26)。放射治疗引起的CT数标准差的变化(来自更仔细的轮廓和使用软件窗口)与平均CT数的变化相关(R2=0.71)。标准差的变化与肿瘤体积的变化无关(R2=0.02)。放疗降低了平均CT数(P < 0.001)。综上所述,放疗减少了CT数,这种减少可能与10个月时的局部控制有关。双组分模型与肺肿瘤数量分布及其对辐射的反应一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CT number distribution and its association with local control and as a marker of lung tumor response to radiation.

An early noninvasive indicator of tumor response to therapy and the ability to predict clinical outcome may potentially enhance disease management. Currently, however, tumor response to therapy is often delayed, potentially compromising disease management. We examined the computed tomography (CT) number or Hounsfield unit distribution to follow lung tumor response to radiation treatment. To help interpret the results, we examined whether the CT number distribution follows a simple two-component model. The CT number distribution was derived from a CT-simulator for 11 patients with lung cancer before and after the initial radiation treatment (1-1.5 months, average 3,407 cGy). Clinical outcomes were followed in 8 patients who received 5,580-6,660 cGy. All patients were scanned serially, using identical radiation imaging parameters (voltage, current, scan time, and slice thickness) in a CT-simulator. The lung tumors were digitally contoured, and software windows were applied to avoid inclusion of lung tissue in the analysis. Histograms and statistical analysis of the CT numbers for the tumor were generated. Radiation-induced CT number or Hounsfield unit (HU) shifts exceeding a threshold (13 HU) in lung tumors were associated with (P=0.04) local control (> or = 10 months). Initial lung tumor size (below 100 cm3) was less well-associated with local control (P=0.26). The change in standard deviation of the CT numbers (derived from the more careful contouring and using software windows) induced by radiation treatment correlated with the change in average CT number (R2=0.71). The change in standard deviation did not correlate with a change in tumor volume (R2=0.02). Radiation treatments reduced the average CT number (P < 0.001). In summary, radiation reduces the CT number and this reduction may be associated with local control at 10 months. A two-component model is consistent with lung tumor number distribution and its response to radiation.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信